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109 Publications


2023 | Conference Paper | LibreCat-ID: 44855
Hemmrich, Simon, et al. “Designing Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings on a Blockchain.” ECIS 2023 Research Papers, 2023.
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2023 | Conference Paper | LibreCat-ID: 35014 | OA
Blömer, Johannes, et al. On the Impossibility of Surviving (Iterated) Deletion of Weakly Dominated Strategies in Rational MPC. 2023.
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2023 | Conference Paper | LibreCat-ID: 43458 | OA
Blömer, Johannes, et al. A Generic Construction of an Anonymous Reputation System and Instantiations from Lattices. 2023.
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2022 | Dissertation | LibreCat-ID: 35188
Eidens, Fabian. Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials. 2022, doi:10.17619/UNIPB/1-1653.
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2021 | Preprint | LibreCat-ID: 26645 | OA
Bobolz, Jan, et al. Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes. IACR eprint, 2021.
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2021 | Conference Paper | LibreCat-ID: 29566
Bobolz, Jan, et al. “Issuer-Hiding Attribute-Based Credentials.” Cryptology and Network Security, Springer International Publishing, 2021, doi:10.1007/978-3-030-92548-2_9.
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2020 | Journal Article | LibreCat-ID: 20888
Blömer, Johannes, et al. “A Complexity Theoretical Study of Fuzzy K-Means.” ACM Transactions on Algorithms, vol. 16, no. 4, 2020, pp. 1–25, doi:10.1145/3409385.
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2020 | Conference Paper | LibreCat-ID: 16487 | OA
Bobolz, Jan, et al. “Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection.” Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20), ACM, 2020, doi:10.1145/3320269.3384769.
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2020 | Journal Article | LibreCat-ID: 10790
Blömer, Johannes, et al. “How Well Do SEM Algorithms Imitate EM Algorithms? A Non-Asymptotic Analysis for Mixture Models.” Advances in Data Analysis and Classification, vol. 14, 2020, pp. 147–173, doi:10.1007/s11634-019-00366-7.
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2020 | Dissertation | LibreCat-ID: 15482
Löken, Nils. Cryptography for the Crowd — A Study of Cryptographic Schemes with Applications to Crowd Work. 2020, doi:10.17619/UNIPB/1-854.
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